Triple
T27015351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LJU |
E680510
|
entity |
| Predicate | isUNLOCODEFor |
P1492
|
FINISHED |
| Object | Ljubljana Jože Pučnik Airport |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ljubljana Jože Pučnik Airport | Statement: [LJU, isUNLOCODEFor, Ljubljana Jože Pučnik Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUNLOCODEFor Context triple: [LJU, isUNLOCODEFor, Ljubljana Jože Pučnik Airport]
-
A.
hasUNCode
Indicates that an entity is associated with a specific United Nations–assigned code that identifies it in UN systems or classifications.
-
B.
UNLOCODE
Indicates that an entity is associated with a specific UN/LOCODE, i.e., a standardized United Nations location code identifying a particular place used in international trade and transport.
-
C.
hasUNLocode
chosen
Indicates that an entity is associated with a specific UN/LOCODE, identifying its location in the United Nations location code system.
-
D.
hasUnicodeName
Indicates that an entity is associated with a specific official Unicode name assigned to a character or symbol.
-
E.
hasDedicatedUnicodeBlock
Indicates that a given writing system, symbol set, or character group is assigned its own specific, contiguous range of code points in the Unicode standard.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621ff76fc81908b6f456b31d43833 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:05 a.m.